We study the best ways to apply computational methods (machine learning and deep learning) to genomics and other biological data. We are building predictive models using machine learning. We are studying the best ways to encode DNA, RNA and protein sequence data into uniform length numerical vectors that can be used as input for deep learning models. We are studying whether we can apply latent semantic analysis to genetic sequence data, treating DNA, RNA and protein sequence data as a language.
If you need help analyzing your NGS data, we can help. We can do end-to-end analysis from raw data QC all the way through analysis and visualization. We can also teach you how to do this for yourself. If you are doing genome editing and engineering with CRISPR, we can help you design your target sites and check for off target activity in any genome.
Londonderry, New Hampshire, United States
Send us an email and we can get the conversation started about how we can help you apply cutting edge computing, machine learning and deep learning to your data.